Evidence map›Paper›PMID 32543786›Full record

ReviewCPT: pharmacometrics & systems pharmacology2020

Data Digitizing: Accurate and Precise Data Extraction for Quantitative Systems Pharmacology and Physiologically-Based Pharmacokinetic Modeling.

Jan-Georg Wojtyniak, Hannah Britz, Dominik Selzer, Matthias Schwab, Thorsten Lehr

Abstract readReview
In one paragraph

Review in CPT: pharmacometrics & systems pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 11 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  3. Factors Explaining Age-Related Prospective Memory Performance Differences: A Meta-analysis.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jan-Georg WojtyniakClinical Pharmacy, Saarland University, Saarbrücken, Germany.
Hannah BritzClinical Pharmacy, Saarland University, Saarbrücken, Germany.
Dominik SelzerClinical Pharmacy, Saarland University, Saarbrücken, Germany.
Matthias SchwabDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Thorsten LehrClinical Pharmacy, Saarland University, Saarbrücken, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In quantitative systems pharmacology (QSP) and physiologically-based pharmacokinetic (PBPK) modeling, data digitizing is a valuable tool to extract numerical information from published data presented as graphs. To quantify their relevance, a literature search revealed a remarkable mean increase of 16% per year in publications citing digitizing software together with QSP or PBPK. Accuracy, precision, confounder influence, and variability were investigated using scaled median symmetric accuracy (ζ), thus finding excellent accuracy (mean ζ = 0.99%). Although significant, no relevant confounders were found (mean ζ ± SD circles = 0.69% ± 0.68% vs. triangles = 1.3% ± 0.62%). Analysis of 181 literature peak plasma concentration values revealed a considerable discrepancy between reported and post hoc digitized data with 85% having ζ > 5%. Our findings suggest that data digitizing is precise and important. However, because the greatest pitfall comes from pre-existing errors, we recommend always making published data available as raw values.

Indexed as

Models, BiologicalPharmacokineticsSystems BiologyComputer SimulationHumansNumerical Analysis, Computer-AssistedPharmaceutical PreparationsReproducibility of ResultsSoftware DesignPharmaceutical Preparations

Identifiers

PMID32543786
PMCPMC7306621

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.